IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i9p7271-d1134233.html
   My bibliography  Save this article

Application of Algorithm for Inventive Problem Solving (ARIZ) for the Heat Dissipation of Energy Storage Supply System for High-Power Locomotive

Author

Listed:
  • Dengke Li

    (State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China
    The State Key Laboratory of Heavy-Duty and Express High-Power Electric Locomotive, Zhuzhou 412001, China)

  • Shiwen Chen

    (The State Key Laboratory of Heavy-Duty and Express High-Power Electric Locomotive, Zhuzhou 412001, China)

  • Yingmou Zhu

    (The State Key Laboratory of Heavy-Duty and Express High-Power Electric Locomotive, Zhuzhou 412001, China)

  • Ang Qiu

    (The State Key Laboratory of Heavy-Duty and Express High-Power Electric Locomotive, Zhuzhou 412001, China)

  • Zhiyuan Liao

    (The State Key Laboratory of Heavy-Duty and Express High-Power Electric Locomotive, Zhuzhou 412001, China)

  • Xiaodong Liu

    (Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China)

  • Longjiang Shen

    (The State Key Laboratory of Heavy-Duty and Express High-Power Electric Locomotive, Zhuzhou 412001, China)

  • Guiyu Jian

    (Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China)

Abstract

With the increasing demand for the energy density of battery system in railway vehicles, the ambient temperature of the battery system is increased. This means that the heat dissipation efficiency and battery service life are reduced, thus reducing the reliability of the battery. Contraposing the problem of the heat dissipation of energy storage batteries, the full deployment of the ARIZ algorithm has been provided for applications of problem-solving processes in this investigation. The advantage of using the ARIZ algorithm is that while the engineering system is kept unchanged or less changed, the effective heat dissipation of the energy storage battery with increasing energy density can be satisfied. During the process of the ARIZ algorithm, a mini problem is first defined. Moreover, the ideal final result and physical contradiction are defined. Following this, expanded material field resources are used, and finally, 22 innovative designs are obtained using the problem-solving tool in TRIZ theory. The final design scheme is provided by combining multiple schemes, and the heat compensator dispersion of a partially improved system in the optimized scheme has been simulated. The results show that the heat compensator dispersion of the air conditioning cooling system for battery modules has reached the design goals in this investigation, in which the maximum temperature of the module’s surface has been reduced to below 35.68 °C, and the maximum temperature difference of the module has reduced to below 5.6 °C.

Suggested Citation

  • Dengke Li & Shiwen Chen & Yingmou Zhu & Ang Qiu & Zhiyuan Liao & Xiaodong Liu & Longjiang Shen & Guiyu Jian, 2023. "Application of Algorithm for Inventive Problem Solving (ARIZ) for the Heat Dissipation of Energy Storage Supply System for High-Power Locomotive," Sustainability, MDPI, vol. 15(9), pages 1-23, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7271-:d:1134233
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/9/7271/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/9/7271/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peng Shao & Runhua Tan & Qingjin Peng & Wendan Yang & Fang Liu, 2023. "An Integrated Method to Acquire Technological Evolution Potential to Stimulate Innovative Product Design," Mathematics, MDPI, vol. 11(3), pages 1-24, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7271-:d:1134233. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.